PyTorch torch.randn_like Function
Pytorch torch Reference Manual
torch.randn_likeIt is a function in PyTorch used to create a random tensor with standard normal distribution and the same shape as the input tensor.
Function Definition
torch.randn_like(input, dtype=None, device=None, requires_grad=False)
Usage Example
Example
import torch
# Create an input tensor
input = torch.tensor([[1, 2], [3, 4]])
# Create a standard normal distribution random tensor with the same shape as the input
x = torch.randn_like(input)
print(x)
# Create an input tensor
input = torch.tensor([[1, 2], [3, 4]])
# Create a standard normal distribution random tensor with the same shape as the input
x = torch.randn_like(input)
print(x)
Other Extensions